Currently, the most commonly used method for diagnosing fatty liver is ultrasound. Although this examination has advantages such as non invasiveness and low cost, it must be conducted in a hospital. In daily life, many people may already suffer from fatty liver, but often due to busy work and other reasons, they have no time to go to the hospital for early diagnosis, thus missing the best opportunity for intervention. So, is there a simpler and more effective way to predict a person's risk of developing fatty liver? The answer is affirmative.
"Body mass index" prediction: effective, but there are exceptions
Fatty liver has many causes, the most common are obesity, hyperlipidemia and type II diabetes. Among them, obesity is most closely related to fatty liver. The currently commonly used indicator for diagnosing obesity is body mass index (BMI), which is the weight (in kilograms) divided by the square of height (in meters). BMI
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